π Performance Overview
Scale & Richness
Measures the breadth and depth of extracted information
Entity Count
4,159
Total number of unique entities identified
Relationship Count
6,916
Total number of relationships extracted
Property Fill Rate
100.0%
Excellent
Completeness of entity properties
Relationship Types
3862
Diversity of relationship types used
Structural Integrity
Evaluates graph connectivity and topological health
Graph Density
1.6629
Excellent
Ratio of actual edges to possible edges
Largest Connected Component
69.9%
Good
Percentage of nodes in main connected component
Connected Components
1189
Number of disconnected graph components
Singleton Nodes
27.5%
Percentage of isolated nodes (lower is better)
Semantic Quality
Assesses accuracy, consistency, and relevance of extracted knowledge
Entity Normalization Score
74.2%
Good
Consistency in entity naming and representation
Factual Precision
π€ 92.0%
LLM-evaluated factual accuracy of extracted information
Potential Alias Pairs
1073
Entity names that might refer to the same concept
Contextual Relevance
π€ 26.0%
LLM-evaluated relevance to source context
Efficiency
Measures effectiveness of text-to-knowledge transformation
Knowledge Density
17.98
Excellent
Average knowledge elements per text chunk
Productive Source Ratio
100.0%
Excellent
Percentage of source texts that contributed to KG
Average Text Length
1085
Average length of source text chunks
Source Coverage
0.0%
Percentage of source content linked to KG elements
π‘ Recommendations for Improvement
- Review and merge potential entity aliases to improve consistency